A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications | Paper Citation Record

Observation da51ffb6-3ba8-4eea-ab0e-bc22d2d012b0 · outbound

This paper cites A proximal variable smoothing for nons- mooth minimization involving weakly convex composite with MIMO application,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A proximal variable smoothing for nons- mooth minimization involving weakly convex composite with MIMO application,

Reference 1

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This paper cites Solution of incorrectly formulated problems and the regularization method.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Solution of incorrectly formulated problems and the regularization method

Reference 2

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This paper cites Regression shrinkage and selection via the lasso,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Regression shrinkage and selection via the lasso,

Reference 3

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A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications The convergence guarantees of a non-convex approach for sparse recovery,

Reference 4

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This paper cites Sparse regularization via convex analysis,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Sparse regularization via convex analysis,

Reference 5

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This paper cites Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition,

Reference 6

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This paper cites A constrained LiGME model and its proximal splitting algorithm under overall convexity condition,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A constrained LiGME model and its proximal splitting algorithm under overall convexity condition,

Reference 7

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This paper cites Block-sparse recovery with optimal block partition,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Block-sparse recovery with optimal block partition,

Reference 8

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This paper cites Convex sparse spectral clustering: single- view to multi-view,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Convex sparse spectral clustering: single- view to multi-view,

Reference 9

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This paper cites A manifold proximal linear method for sparse spectral clustering with application to single-cell RNA sequencing data analysis,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A manifold proximal linear method for sparse spectral clustering with application to single-cell RNA sequencing data analysis,

Reference 10

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This paper cites A variable smoothing for weakly convex com- posite minimization with nonconvex constraint,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A variable smoothing for weakly convex com- posite minimization with nonconvex constraint,

Reference 11

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This paper cites Solving (most) of a set of quadratic equalities: composite optimization for robust phase retrieval,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Solving (most) of a set of quadratic equalities: composite optimization for robust phase retrieval,

Reference 12

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This paper cites A new inexact proximal linear algorithm with adaptive stopping criteria for robust phase retrieval,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A new inexact proximal linear algorithm with adaptive stopping criteria for robust phase retrieval,

Reference 13

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This paper cites Variable smoothing algorithm for inner-loop-free DC composite optimizations.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Variable smoothing algorithm for inner-loop-free DC composite optimizations

Reference 14

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This paper cites Low-rank matrix recovery with composite optimization: Good conditioning and rapid convergence,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Low-rank matrix recovery with composite optimization: Good conditioning and rapid convergence,

Reference 15

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This paper cites Robust low-rank matrix recovery via hybrid ordinary-Welsch function,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Robust low-rank matrix recovery via hybrid ordinary-Welsch function,

Reference 16

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This paper cites Rockafellar and R.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Rockafellar and R

Reference 17

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A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Unresolved cited work

Reference 18

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This paper cites Weakly convex regularized robust sparse recovery methods with theoretical guarantees,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Weakly convex regularized robust sparse recovery methods with theoretical guarantees,

Reference 19

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This paper cites Sparse stable outlier-robust signal recovery under Gaussian noise,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Sparse stable outlier-robust signal recovery under Gaussian noise,

Reference 20

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This paper cites Nearly unbiased variable selection under minimax con- cave penalty,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Nearly unbiased variable selection under minimax con- cave penalty,

Reference 21

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This paper cites Variable selection via nonconcave penalized likelihood and its oracle properties,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Variable selection via nonconcave penalized likelihood and its oracle properties,

Reference 22

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This paper cites A proximal method for composite minimization,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A proximal method for composite minimization,

Reference 23

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This paper cites Efficiency of minimizing composi- tions of convex functions and smooth maps,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Efficiency of minimizing composi- tions of convex functions and smooth maps,

Reference 24

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This paper cites Subgra- dient methods for sharp weakly convex functions,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Subgra- dient methods for sharp weakly convex functions,

Reference 25

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This paper cites Incremental Methods for Weakly Convex Optimization.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Incremental Methods for Weakly Convex Optimization

Reference 26

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This paper cites A unified analysis for the subgra- dient methods minimizing composite nonconvex, nonsmooth and non- Lipschitz functions,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A unified analysis for the subgra- dient methods minimizing composite nonconvex, nonsmooth and non- Lipschitz functions,

Reference 27

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This paper cites Proximal variable smoothing method for three- composite nonconvex nonsmooth minimization with a linear operator,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Proximal variable smoothing method for three- composite nonconvex nonsmooth minimization with a linear operator,

Reference 28

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This paper cites Beck,First-Order Methods in Optimization.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Beck,First-Order Methods in Optimization

Reference 29

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A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Convex relaxations of the weighted maxmin dispersion problem,

Reference 30

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This paper cites An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem,

Reference 31

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This paper cites A Projected Variable Smoothing for Weakly Convex Optimization and Supremum Functions.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A Projected Variable Smoothing for Weakly Convex Optimization and Supremum Functions

Reference 32

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This paper cites Fifty years of MIMO detection: The road to large-scale MIMOs,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Fifty years of MIMO detection: The road to large-scale MIMOs,

Reference 33

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This paper cites Computationally efficient data detection algorithm for massive MU-MIMO systems using PSK modulations,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Computationally efficient data detection algorithm for massive MU-MIMO systems using PSK modulations,

Reference 34

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This paper cites Asymptotic performance of discrete- valued vector reconstruction via box-constrained optimization with sum ofℓ 1 regularizers,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Asymptotic performance of discrete- valued vector reconstruction via box-constrained optimization with sum ofℓ 1 regularizers,

Reference 35

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This paper cites An LiGME Regularizer of Designated Isolated Minimizers -- An Application to Discrete-Valued Signal Estimation.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications An LiGME Regularizer of Designated Isolated Minimizers -- An Application to Discrete-Valued Signal Estimation

Reference 36

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This paper cites The rate of convergence of the generalized gradient descent method,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications The rate of convergence of the generalized gradient descent method,

Reference 37

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Observation eaa46c93-2dec-4fee-b45e-b5c7973547d7 · outbound

This paper cites Incremental subgradient methods for nondifferentiable optimization,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Incremental subgradient methods for nondifferentiable optimization,

Reference 38

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Observation bee6a6aa-84f1-48a0-bc40-1cbb69975db2 · outbound

This paper cites Variable smoothing for weakly convex composite functions,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Variable smoothing for weakly convex composite functions,

Reference 39

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Observation 063b00c5-5922-4263-ae62-0a1b1aa4b376 · outbound

This paper cites A variable smoothing for nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A variable smoothing for nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering,

Reference 40

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Observation d026e5ee-e523-48f9-88aa-0abd58c75a8f · outbound

This paper cites A variable smoothing algorithm for solving convex optimization problems,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A variable smoothing algorithm for solving convex optimization problems,

Reference 41

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Observation f8bcd50b-791f-4e3a-8e09-83f2adb3ed0e · outbound

This paper cites A global Cayley parametrization of Stiefel manifold for direct utilization of optimization mechanisms over vector spaces,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A global Cayley parametrization of Stiefel manifold for direct utilization of optimization mechanisms over vector spaces,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:46.148723Z

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Observation 0385f9d7-6132-49e6-9a6a-b2addcb7881b · outbound

This paper cites Generalized left-localized Cayley parametrization for optimiza- tion with orthogonality constraints,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Generalized left-localized Cayley parametrization for optimiza- tion with orthogonality constraints,

Reference 43

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Observation 13d39100-e171-4a21-ad12-a44bdc6e0b84 · outbound

This paper cites The effect of smooth parametriza- tions on nonconvex optimization landscapes,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications The effect of smooth parametriza- tions on nonconvex optimization landscapes,

Reference 44

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This paper cites Understanding notions of stationarity in nonsmooth optimization: A guided tour of various constructions of subdifferential for nonsmooth functions,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Understanding notions of stationarity in nonsmooth optimization: A guided tour of various constructions of subdifferential for nonsmooth functions,

Reference 45

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Observation 4c452443-692a-4ff8-a1cd-bd3466ee0072 · outbound

This paper cites Minimizing the Moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi-nonexpansive mappings,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Minimizing the Moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi-nonexpansive mappings,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:45.920666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7b08008e-7598-4423-b243-1ee5a12e8911 · outbound

This paper cites Epi-convergence properties of smoothing by infimal convolution,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Epi-convergence properties of smoothing by infimal convolution,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:45.710053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6777bc4-f7e9-4453-8c12-0c7a7fa52c7a · outbound

This paper cites Forward-backward envelope for the sum of two nonconvex functions: Further properties and non- monotone linesearch algorithms,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Forward-backward envelope for the sum of two nonconvex functions: Further properties and non- monotone linesearch algorithms,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:45.461489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39c1a1e5-b7d2-463b-b054-f9492188c077 · outbound

This paper cites A proximal variable smoothing for solving composite inclusion problems,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A proximal variable smoothing for solving composite inclusion problems,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:45.295299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3fcd7d38-67a9-4430-8752-1d6436582b50 · outbound

This paper cites A maxmin location problem,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A maxmin location problem,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:45.124247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c195a53-7e28-4529-9326-3d8f82238b1d · outbound

This paper cites Dispersion in a polygon,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Dispersion in a polygon,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:44.894270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9106fc06-8520-48fe-a2c4-76261c472a60 · outbound

This paper cites Cell switch-off algorithms for spatially irregular base station deployments,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Cell switch-off algorithms for spatially irregular base station deployments,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:44.698265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38d78baa-4143-449f-85d9-860c4ae3f13b · outbound

This paper cites Minimax and maximin distance designs,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Minimax and maximin distance designs,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:44.516619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf7ef711-6249-431b-a3ee-447ab9ca066d · outbound

This paper cites Minimax and maximin space-filling designs: some prop- erties and methods for construction,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Minimax and maximin space-filling designs: some prop- erties and methods for construction,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:44.261043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 499665c4-69b6-407c-8b76-b665a088dec4 · outbound

This paper cites Facchinei and J.-S.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Facchinei and J.-S

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:44.047161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d57f74c-a98c-411b-b2c3-44312656f00b · outbound

This paper cites Discrete signal reconstruction by sum of absolute values,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Discrete signal reconstruction by sum of absolute values,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:43.888444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06593f2f-0333-46dd-aecc-70d0372e4ec2 · outbound

This paper cites Regularised approach to detection of constant modulus signals in MIMO channels,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Regularised approach to detection of constant modulus signals in MIMO channels,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:43.707279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcd4f01d-09eb-465b-9034-a625f28a7035 · outbound

This paper cites Projecting onto the intersection of a cone and a sphere,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Projecting onto the intersection of a cone and a sphere,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:43.488966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 206ee5ea-765b-4f32-9992-932b255db882 · outbound

This paper cites A primal–dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A primal–dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:43.296351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2b5f14d-6792-4625-8863-acd4e3a2f97f · outbound

This paper cites A regularization interpretation of the proximal point method for weakly convex functions,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications A regularization interpretation of the proximal point method for weakly convex functions,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:43.094935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72aebd1a-d148-48c6-8fb1-6b510b0cb3e0 · outbound

This paper cites Proximal mappings and Moreau envelopes of single-variable convex piecewise cubic functions and multivariable gauge functions,.

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Finite-Max Minimization and MIMO Applications Proximal mappings and Moreau envelopes of single-variable convex piecewise cubic functions and multivariable gauge functions,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:24:42.950818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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